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Westkost [7]
2 years ago
11

A shipment of 6 3/7 tons of sugar is separated into containers of equal size if the shipment fills 5 containers how much sugar c

an one container hold?
Mathematics
1 answer:
zlopas [31]2 years ago
8 0

Answer:

1 2/7 tons of sugar

Step-by-step explanation:

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If Carrie had 2 apples and Adam had 3, how many do they have altogether?
timama [110]

0 bc u said had so they will have nothing left

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Find the slope of the line through each pair of points.3) (3, -10), (14, -10)
mariarad [96]

Answer:

the second answer

Step-by-step explanation:

I took the test

4 0
2 years ago
The height distribution of NBA players follows a normal distribution with a mean of 79 inches and standard deviation of 3.5 inch
Shtirlitz [24]

Answer:

The probability will be "0.0111".

Step-by-step explanation:

The given values are:

Mean,

\mu = 79

Standard deviation,

\sigma = 3.5

Now,

⇒ \sigma\bar x = \frac{\sigma}{\sqrt n}

         =   \frac{3.5}{\sqrt 16}

         =0.875

⇒ P(\bar x > 81) = 1 - P(\bar x < 81)

So,

= 1 - P{\frac{(\bar x - \mu \bar x )}{ \sigma \bar x}  < \frac{(81 - 79) }{0.875} ]

= 1 - P(z < 2.2857)

= 0.0111

7 0
3 years ago
3 − (2x − 5) &lt; −4(x + 2)<br><br> please help!!!!!!!!!
Flauer [41]
Just plug in an easy number for "x" and solve. Then see if the second problem is really greater that the first
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3 years ago
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Thetime(inhours)requiredtorepairamachineis an exponentially distributed random variable with parameter λ = 1 . What is 2 (a) the
mihalych1998 [28]

Answer:

a) 0.1353

b) 0.3679

Step-by-step explanation:

Let's start by defining the random variable T.

T : ''The time (in hours) required to repair a machine''

T ~ exp (λ)

T ~ exp (1)

The probability density function for the exponential distribution is

(In the equation I replaced λ = L)

f(x)=Le^{-Lx}

With L > 0 and x ≥ 0

In this exercise λ = 1 ⇒

f(x)=e^{-x}

For a)

P(T>2)

P(T>2)=1-P(T\leq 2)

P(T>2)=1-\int\limits^2_0 {e^{-x} } \, dx

P(T>2)=1-(-e^{-2}+1)

P(T>2)=e^{-2}=0.1353

For b)

P(T\geq 10/T>9)

The event (T ≥ 10 / T > 9) is equivalent to the event T ≥ 1 so they have the same probability of occur

P(T\geq 10/T>9)=P(T\geq 1)

P(T\geq 1)=1-P(T

P(T\geq 1)=1-(-e^{-1}+1)=e^{-1}=0.3679

4 0
3 years ago
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